Abstract
Cooperative temporal sensing and distributed estimation are two vital aspects of cognitive radio. This paper studies a joint cooperative temporal sensing and distributed estimation scheme for Bayesian optimal threshold. This scheme studies the impact of distributed estimation error on the performance of cooperative temporal sensing by using Bayesian cost, and the Bayesian optimal threshold is obtained by minimizing the Bayesian cost. Finally, we examine the performances of other optimal thresholds with different criterions, and the effect of imperfect channel estimation is also tested. Numerical results show the performance of proposed scheme and validate our analysis.
©[2013] by Walter de Gruyter Berlin Boston
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Articles in the same Issue
- Masthead
- Practical Design Issues of Sweeping Wideband Millimeter Wave Heterodyne Receiver Front-ends
- Hybrid SIW-GCPW Narrow-Wall 3 dB Coupler
- Interpolated Adaptive Doppler Filter for Estimating Velocity
- Crosstalk Suppression in High Data Rate and High Density Hard Disk Drive Interconnects Using Magnetic Composites
- Random Sequence Based Multipolling Method for Collecting Ubiquitous RFID Tag Data in Wireless LANs
- Hybrid DDS-PLL Frequency Synthesizer with Reference Clock Modulation
- New Formulation of the Equations Describing the Locked States of Two Van der Pol Oscillators Coupled through a Broadband Network – Application to the Design of Two Differential Coupled VCOs
- Joint Cooperative Temporal Sensing and Distributed Estimation for Bayesian Optimal Threshold
- Analysis of the Performance of the Two-way Relaying under the Influence of Channel Estimation Error and Co-channel Interference